4.5 Article

Reverse transcription loop-mediated isothermal amplification to rapidly detect Rice ragged stunt virus

Journal

SAUDI JOURNAL OF BIOLOGICAL SCIENCES
Volume 25, Issue 8, Pages 1577-1584

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.sjbs.2016.02.024

Keywords

Rice ragged stunt virus (RRSV); Reverse transcription loop-mediated isothermal amplification (RT-LAMP); RT-PCR

Categories

Funding

  1. Special Fund for Agro-scientific Research in the Public Interest of the People's Republic of China [201403075]
  2. Major Science and Technology Program of Hainan Province [ZDZX2013010]

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Rice ragged stunt virus (RRSV) is a very important virus that infects rice and causes serious yield losses in Asian countries and other major rice planting areas. Thus, it is urgent to establish an efficient and practical approach for identification and diagnosis in the field. Our results indicated that reverse transcription loop-mediated isothermal amplification (RT-LAMP) reactions are more efficient and sensitive than RT-PCR for RRSV detection. The optimal LAMP conditions were as follows: 0.4-1.2 mu M internal primers, 0.2-0.25 mu M external primers, 0.8 mu M loop primers, and incubation at 62 degrees C or 63 degrees C for 30 min. Furthermore, the RT-LAMP primers specifically targeted RRSV virus and resulted in typical waterfall-like bands by gel electrophoresis and sigmoidal amplification curves. The primers could not be used to amplify other common plant viruses including Papaya ringspot virus (PRSV), Rice yellow stunt virus (RYSV), Sorghum mosaic virus (SrMV), Cactus virus X (CVX), Melon yellow spot virus (MYSV) and Southern rice black-streaked dwarf virus (SRBSDV). Ten-fold serial dilutions of RRSV cDNA indicated that RT-LAMP is much faster and at least ten times more sensitive than RT-PCR in detecting the virus. The waterfall-like product bands could be observed within one hour. In the field study, about 77% samples were identified as RRSV. RT-LAMP has many benefits over RT-PCR such as low cost and high accuracy, sensitivity, and specificity. This technology meets the requirements for rapid diagnosis of plant virus diseases in the field to best guide management practices for growers. (C) 2016 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University.

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